关键词: |
literature reviews, system design, methodologies, software, automation, recommendations, detection, localization, systems integration |
摘要: |
The goal of this project was to develop a technology which can automatically detect and localize traffic signs and other roadway assets, in order to provide a comprehensive database for asset inventory purposes in real-time. This report describes the research work on system design, data acquisition, image processing, object tracking, feature extraction, and database recording. The project work focuses on systems integration of existing technologies to create reliable applications for high performance road data asset inventory. The fundamental methods used for feature extraction, object tracking and retrieval in these applications are well-established. Exploration of the advanced, state-of-the-art or experimental algorithmic development is also made during the project. The system developed in this project is capable of reliably capturing the Right-Of-Way (ROW) images. The software developed in this project can detect and recognize many of the commonly used road signs with a high accuracy rate in a driving speed up to 60 mph. In certain cases of field tests in urban areas, the accuracy rate for sign detection achieved good result for the 160 signs in the library developed for the project. Included at the end of this report are technical issues relating to errors of sign detection and identification, reasons for not including technologies for automated inventory of assets other than signs, and recommendations for implementation. Sign detection means that a sign is detected. Sign identification means the sign's content is identified. / Supplementary Notes: Sponsored by Mack-Blackwell Transportation Center, Fayetteville, AR. and Federal Highway Administration, Little Rock, AR. Arkansas Div. / Availability Note: Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA. |